Triple

T9459856
Position Surface form Disambiguated ID Type / Status
Subject Green for Danger E228116 entity
Predicate castMember P1668 FINISHED
Object Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
 E810980 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sally Gray | Statement: [Green for Danger, castMember, Sally Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sally Gray
Context triple: [Green for Danger, castMember, Sally Gray]
  • A. Sally Yarnell
    Sally Yarnell was an American actress known for her roles in mid-20th-century films and television.
  • B. Sally Alexander
    Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
  • C. Sally Cobb
    Sally Cobb was the wife of American Founding Father and Declaration of Independence signer Robert Treat Paine.
  • D. Sally Hyde
    Sally Hyde is a central character in the 1978 film "Coming Home," a military wife whose evolving relationships and political awakening reflect the emotional and social upheavals of the Vietnam War era.
  • E. Elizabeth Solley
    Elizabeth Solley is a central character in John Carpenter’s 1980 horror film "The Fog," portrayed as a young hitchhiker who becomes entangled in the supernatural events haunting the coastal town of Antonio Bay.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sally Gray
Triple: [Green for Danger, castMember, Sally Gray]
Generated description
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sally Gray
Target entity description: Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
  • A. Sally Yarnell
    Sally Yarnell was an American actress known for her roles in mid-20th-century films and television.
  • B. Sally Alexander
    Sally Alexander is a British feminist historian and academic known for her work on women's history and social movements.
  • C. Sally Cobb
    Sally Cobb was the wife of American Founding Father and Declaration of Independence signer Robert Treat Paine.
  • D. Sally Hyde
    Sally Hyde is a central character in the 1978 film "Coming Home," a military wife whose evolving relationships and political awakening reflect the emotional and social upheavals of the Vietnam War era.
  • E. Elizabeth Solley
    Elizabeth Solley is a central character in John Carpenter’s 1980 horror film "The Fog," portrayed as a young hitchhiker who becomes entangled in the supernatural events haunting the coastal town of Antonio Bay.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178dbf13c8190a75c9e3aebb6f04c completed April 4, 2026, 8:47 p.m.
NEDg Description generation batch_69d17d30b7d0819094d58a85332ff05f completed April 4, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69d17dd65f7481908a28e934df425b98 completed April 4, 2026, 9:08 p.m.
Created at: March 30, 2026, 7:52 p.m.